Originally Aired - Wednesday, March 13 • 1:00 PM - 2:00 PM Eastern Time (US & Canada)
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Location: W311E
Type: General Education
Session ID: 142
Title: Clinical Decision Support Standards for Incorporating Artificial Intelligence in Healthcare
Description: Artificial Intelligence encompasses a wide range of technologies, from static decision rules and rule-based systems to sophisticated machine learning applications that generate classifiers based on large data repositories. Capable of representing both healthcare data and knowledge, Health Level Seven International’s FHIR® standard has become the new standard for the exchange of healthcare information. While interoperability is a very important goal, another key objective is leveraging investments in healthcare IT to improve quality and safety. This latter goal requires effective clinical decision support (CDS), which in turn can be implemented using a variety of AI technologies. Therefore, there is a need to explore how CDS can be delivered within an evolving ecosystem that is centered on HL7® FHIR®®. The role of specific HL7® CDS standards will be reviewed to facilitate uptake by vendors and use by healthcare organizations in order to achieve quality goals. These include Clinical Quality Language, CDS Hooks, Arden Syntax and the Info button standard. The speakers will provide illustrations that demonstrate how these standards can be used to implement CDS to promote healthcare quality improvement with an emphasis on their utility for leveraging AI to facilitate knowledge-based interventions.
Level: Intermediate
Format: 60-Minute Lecture
Learning Objective #1: Define key standards for implementing clinical decision support
Learning Objective #2: Describe how different health information technology standards can be brought together to deliver integrated clinical decision support solutions to improve quality and safety
Learning Objective #3: Recognize how FHIR® is integrated in clinical decision support standards
Learning Objective #4: Discuss the wide range of AI technologies and how these could be leveraged using clinical decision support standards
